Cart (Loading....) | Create Account
Close category search window
 

Model Order Reduction of Frequency-Dependent Interconnect Models Via Linear Fractional Transformation Techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Chung-Kwan Chu ; Dept. of Electr. & Electron. Eng., Hong Kong Univ. ; Ngai Wong

This paper presents a linear fractional transformation (LFT)-based approach to handle model order reduction (MOR) of interconnect models with frequency-dependent (FD) parameters. Conventional MOR schemes are not readily applicable to FD interconnects as they are restricted to models with constant state-space matrices. Motivated by this limitation, we propose an LFT-based MOR framework directly applicable to FD interconnect models. The key idea of the proposed method is to transform the transfer function of an FD interconnect model into an LFT which is then directly reduced. Effectiveness of the proposed approach is confirmed by numerical examples

Published in:

Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on

Date of Conference:

12-15 Dec. 2006

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.